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Searching by Heterogeneous Agents

Abstract

In this work we introduce and study a pursuit-evasion game in which the search is performed by heterogeneous entities. We incorporate heterogeneity into the classical edge search problem by considering edge-labeled graphs. In such setting a searcher, once a search strategy initially decides on the label of the searcher, can be present on an edge only if the label of the searcher and the label of the edge are the same. We prove that such searching problem is not monotone even for trees and moreover we give instances in which the number of recontamination events is Ω(n^2), where n is the size of a tree. Another negative result regards the NP-completeness of the monotone heterogeneous search in trees. The two above properties show that this problem behaves very differently from the classical edge search. On the other hand, if all edges of a particular label form a (connected) subtree of the input tree, then we show that optimal heterogeneous search strategy can be computed efficiently.

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Details

Category:
Conference activity
Type:
publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
Title of issue:
Algorithms and Complexity strony 199 - 211
Language:
English
Publication year:
2019
Bibliographic description:
Dereniowski D., Kuszner Ł., Ostrowski R.: Searching by Heterogeneous Agents// Algorithms and Complexity/ : , 2019, s.199-211
DOI:
Digital Object Identifier (open in new tab) 10.1007/978-3-030-17402-6_17
Verified by:
Gdańsk University of Technology

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